exploitability-assessment

Taint analysis findings are quantified by mapping severity, primitive quality, guard bypass, mitigation factors, and reachability into a unified exploitability score to prioritize remediation by risk.

Exploitability assessment integrates taint reports, memory or logic findings, module security features, and a security dossier to compute a unified score with a rating for module-level risk ranking.

You compute an exploitability score by running the assess_finding.py script with a taint report to generate scores and a summary for vulnerability prioritization.

Yes, you can rank taint vulnerabilities within a module by integrating taint analysis, attack-surface data, and a module database for security features to compute a unified risk score.

Batch taint exploitability analysis requires taint reports, optional memory or logic findings, a module database for security features, and a security dossier to compute a unified score.

Taint exploitability scoring factors include taint severity, primitive quality, guard bypass, mitigation factors, and reachability, which are combined to produce a unified risk score.